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Regression Trees and Model Trees

Regression tree: proposed in CART system (Breiman et al. 1984)

CART: Classification And Regression Trees
Each leaf stores a continuous-valued prediction
It is the average value of the predicted attribute for the training tuples that reach the leaf

Model tree: proposed by Quinlan (1992)

Each leaf holds a regression model—a multivariate linear equation for the predicted attribute
A more general case than regression tree

Regression and model trees tend to be more accurate than linear regression when the data are not represented well by a simple linear model

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